Predicting mortality for critically ill burns patients, using the Abbreviated Burn Severity Index and Simplified Acute Physiology Score 3

Melo, Florence de Lucca; Gragnani, Alfredo; Oliveira, Aline Feitoza de; Ferreira, Lydia Masako

doi:10.1016/j.injury.2021.11.027

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The abbreviated burn severity index (ABSI) published by Tobiasen et al in 1982. This remains one of the most commonly applied mortality prediction scores in burn care [8].…”

Section: Study Design and Data Extractionmentioning

confidence: 99%

Comparative Analysis of Composite Mortality Prediction Scores in Intensive Care Burn Patients

Obed

Salim

Dastagir

et al. 2022

IJERPH

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Multiple outcome scoring models have been used in predicting mortality in burn patients. In this study, we compared the accuracy of five established models in predicting outcomes in burn patients admitted to the intensive care unit and assessed risk factors associated with mortality. Intensive care burn patients admitted between March 2007 and December 2020 with total body surface area (TBSA) affected ≥ 10% were analyzed. Multivariate analysis was conducted to examine variables associated with mortality. The ABSI, Ryan, BOBI, revised Baux and BUMP scores were analyzed by receiver operating characteristics. A total of 617 patients were included. Morality was 14.4%, with non-survivors being significantly older, male, and having experienced domestic burns. Multivariate analysis identified age, TBSA, full-thickness burns and renal insufficiency as independent mortality predictors. The BUMP score presented the highest mortality prognostication rate, followed by ABSI, revised Baux, BOBI and Ryan scores. BUMP, ABSI and revised Baux scores displayed AUC values exceeding 90%, indicating excellent prognostic capabilities. The BUMP score showed the highest accuracy of predicting mortality in intensive care burn patients and outperformed the most commonly used ABSI score in our cohort. The older models displayed adequate predictive performance and accuracy compared with the newest model.

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“…The abbreviated burn severity index (ABSI) published by Tobiasen et al in 1982. This remains one of the most commonly applied mortality prediction scores in burn care [8].…”

Section: Study Design and Data Extractionmentioning

confidence: 99%

Comparative Analysis of Composite Mortality Prediction Scores in Intensive Care Burn Patients

Obed

Salim

Dastagir

et al. 2022

IJERPH

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“…There are few studies that externally validated the SAPS 3 model in a general ICU, post 2013. [5 – 9] However, most of these sought to investigate the performance of this model in a specific group of patients. As the present study is not a systematic review, these studies are not reported.…”

Section: Introductionmentioning

confidence: 99%

Prediction of in-hospital mortality: An adaptive severity- of-illness score for a tertiary ICU in South Africa

Pazi

Sharp

Merwe

2022

SAJCC

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Background. A scoring system based on physiological conditions was developed in 1984 to assess the severity of illness. This version, and subsequent versions, were labelled Simplified Acute Physiology Scores (SAPS). Each extension addressed limitations in the earlier version, with the SAPS III model using a data-driven approach. However, the SAPS III model did not include data collected from the African continent, thereby limiting the generalisation of the results. Objectives. To propose a scoring system for assessing severity of illness at intensive care unit (ICU) admission and a model for prediction of in-hospital mortality, based on the severity of illness score. Methods. This is a prospective cohort study which included patients who were admitted to an ICU in a South African tertiary hospital in 2017. Logistic regression modelling was used to develop the proposed scoring system, and the proposed mortality prediction model. Results. The study included 829 patients. Less than a quarter of patients (21.35%;n=177) died during the study period. The proposed model exhibited good calibration and excellent discrimination. Conclusion. The proposed scoring system is able to assess severity of illness at ICU admission, while the proposed statistical model may be used in the prediction of in-hospital mortality.

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Utilisation of palliative/ end-of-life care practice recommendations in the burn intensive care unit of a Ghanaian tertiary healthcare facility: An observational study

Bayuo,

Baffour

2024

Burns

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Predicting mortality for critically ill burns patients, using the Abbreviated Burn Severity Index and Simplified Acute Physiology Score 3

Cited by 3 publications

References 8 publications

Comparative Analysis of Composite Mortality Prediction Scores in Intensive Care Burn Patients

Comparative Analysis of Composite Mortality Prediction Scores in Intensive Care Burn Patients

Prediction of in-hospital mortality: An adaptive severity- of-illness score for a tertiary ICU in South Africa

Utilisation of palliative/ end-of-life care practice recommendations in the burn intensive care unit of a Ghanaian tertiary healthcare facility: An observational study

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